Oscar Gerardo Lazo Arjona wrote:
> Hello! I'm new to this mailing list and to numpy in general.
> I need to calculate fft for my optics class. But I'm having trouble.
>> This is the code I'm using (commented):
>> import pylab
> import numpy as np
>> def g(x):
> if x>450 and x<550:
> return 1
> else:
> return 0
> f=[g(x) for x in range(0,1000)]
> f=np.array(f)
>> #this funtion can be ploted as
> #http://i41.tinypic.com/k0shnk.png> #which is a step function "centered" at 500
>>> F=np.fft.fft(f)
> #when calculate the fft of f i get an array of complex numbers
> #whose absolute value can be ploted as
> #http://i40.tinypic.com/1zcecxx.png>> #But that is not the desired output.
> #Instead of that i expect something that can be ploted like this
> #http://i39.tinypic.com/1zmch0g.png>>> #what i think must be happening because my function f
> #has an offset of 500 (it's supposed to be centereed at 500)
>> #So i think it all reduces to two options:
> #somehow telling fft to consider the origin at 500
> #(indicate thetell the offset)
>> #Or make fft accept a list of points like
> #[[-2,0],[-1,1],[0,1],[1,1],[2,0]]
> #so that it can know the position of the step relative to the origin
>> Please help!
>
Take a look at the functions numpy.fft.fftshift and numpy.fft.fftfreq.
The attached script shows an example.
Warren
> Oscar
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